Action-conditioned ranges
Starting hands are weighted by the betting actions taken and the selected draw declarations. Solver and trainer use the same pre-draw bucket strategy.
Mixed Game ProExperimental solver
How the solver works
A Nash equilibrium is a pair of strategies where neither player can gain EV by changing strategy alone. This solver reports best-response exploitability inside its abstract post-draw betting tree, and lower is better.
This is an abstracted experimental solve, not an exact full-card game solution. Deep, rare action lines and hands grouped inside one bucket can be less precise.
Read the full methodology and limitationsSet the effective stack, choose the pre-draw betting line and draw declarations in playing order, then explore the derived post-draw strategy.
2-7 Single Draw (No Limit)
Pre-draw actions load once for this stack and can then be explored instantly. Draw and post-draw strategies are calculated when you reach them.
Model boundary
Starting hands are weighted by the betting actions taken and the selected draw declarations. Solver and trainer use the same pre-draw bucket strategy.
The engine trains sampled abstract hand matchups and returns average action frequencies. Convergence must be measured; these results are not certified equilibrium strategies.
Reported exploitability measures how much exact best responses can gain against the current abstract post-draw strategy profile.
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